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RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Microbenchmarks for determining the run time performance of aspects of the R programming environment and packages relevant to high-performance computation. The benchmarks are divided into three categories: dense matrix linear algebra kernels, sparse matrix linear algebra kernels, and machine learning functionality.

Version: 0.1.0
Depends: R (≥ 3.3.1), methods
Imports: utils, mvtnorm, cluster, Matrix
Suggests: knitr, rmarkdown
Published: 2017-05-23
DOI: 10.32614/CRAN.package.RHPCBenchmark
Author: James McCombs [aut, cre]
Maintainer: James McCombs <jmccombs at iu.edu>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: RHPCBenchmark results

Documentation:

Reference manual: RHPCBenchmark.pdf
Vignettes: R HPC Benchmark

Downloads:

Package source: RHPCBenchmark_0.1.0.tar.gz
Windows binaries: r-devel: RHPCBenchmark_0.1.0.zip, r-release: RHPCBenchmark_0.1.0.zip, r-oldrel: RHPCBenchmark_0.1.0.zip
macOS binaries: r-release (arm64): RHPCBenchmark_0.1.0.tgz, r-oldrel (arm64): RHPCBenchmark_0.1.0.tgz, r-release (x86_64): RHPCBenchmark_0.1.0.tgz, r-oldrel (x86_64): RHPCBenchmark_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RHPCBenchmark to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.